重型卡车司机
运输与物料搬运AI暴露度
- 数据来源: BLS发布时间: '26.08
中等· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: '26.03
0.000
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: '25
0.24
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 79%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。
Task-level exposure
显示隐藏的 28 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Plan or adjust routes based on changing conditions, using computer equipment, global positioning systems (GPS) equipment, or other navigation devices to minimize fuel consumption and carbon emissions.53-3032 | 0.006255.4 | 0.002660.5 |
Read and interpret maps to determine vehicle routes.53-3032 | 0.005044.6 | —0 |
Read bills of lading to determine assignment details. | —0 | 0.001739.5 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Maintain logs of working hours or of vehicle service or repair status, following applicable state and federal regulations.O*NET Task ID 10637 | 1.0 |
Read bills of lading to determine assignment details.O*NET Task ID 10643 | 1.0 |
Report vehicle defects, accidents, traffic violations, or damage to the vehicles.O*NET Task ID 10644 | 1.0 |
Check all load-related documentation for completeness and accuracy.O*NET Task ID 20693 | 1.0 |
Operate equipment, such as truck cab computers, CB radios, phones, or global positioning systems (GPS) equipment to exchange necessary information with bases, supervisors, or other drivers.O*NET Task ID 20695 | 1.0 |
Read and interpret maps to determine vehicle routes.O*NET Task ID 10645 | 0.5 |
Collect delivery instructions from appropriate sources, verifying instructions and routes.O*NET Task ID 10647 | 0.5 |
Check conditions of trailers after contents have been unloaded to ensure that there has been no damage.O*NET Task ID 10650 | 0.5 |
Inventory and inspect goods to be moved to determine quantities and conditions.O*NET Task ID 10655 | 0.5 |
Plan or adjust routes based on changing conditions, using computer equipment, global positioning systems (GPS) equipment, or other navigation devices, to minimize fuel consumption and carbon emissions.O*NET Task ID 19923 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
与本职业相关的近期变化
2026年4月: Transportation sector saw 32,241 Q1 2026 cuts — 703% increase YoY. Autonomous vehicle testing and AI logistics optimization driving displacement. AI was #1 March cut reason.
[来源: Challenger March 2026]2026年3月: Challenger: transportation sector 31,702 cuts YTD (+872% YoY), largest sectoral increase in 2026.
[来源: Challenger Gray Feb 2026 Report]